POKERLAB

Independent poker research software

Poker study,
measured.

Study strategy, run transparent solves, train decisions, analyze your own hands, and play continuous games against configurable AI—all in one disciplined workspace.

Educational study only. PokerLab never facilitates real-money wagering.

2

game variants

NLHE and PLO4 use independent validated showdown paths.

1,755

canonical flops

Suit-isomorphic classes map back to all 22,100 physical flops.

0–100

AI fidelity

Policy divergence and estimated regret—not arbitrary random play.

One research system

Every mode speaks the same mathematical language.

Strategy artifacts, hand states, ranges, actions, and analysis records move through documented, versioned boundaries.

01

Study

Navigate study trees from preflop through river with combo-level range inspection and explicit artifact provenance.

Explore module
02

Solve

Configure ranges, stacks, rake, bet trees, and nodelocks through a versioned asynchronous solver contract.

Explore module
03

Practice

Save and share drills and grade bounded exact terminal decisions; general node-based artifact feedback remains a future integration.

Explore module
04

Analyze

Parse owned hand histories, replay factual actions, and attach measured strategy comparisons without observing live clients.

Explore module
05

Play AI

Play continuous NLHE or four-card PLO sessions against calibrated, hidden-information-safe bot policies.

Explore module
06

Preflop

Inspect NLHE combos and PLO structure, save chart context, and keep unsupplied solved frequencies explicitly unavailable.

Explore module
07

Poker Math

Learn the mathematics underneath decisions through formulas, worked examples, calculators, and quizzes.

Explore module

Honest computation

No mystery numbers.

PokerLab marks a value as solved, approximated, sampled, or unavailable. Every result carries its algorithm, abstraction, iteration count, seed policy, and quality metric where applicable.

Open solver methodology
01

Deterministic rules

Seeded dealing, legal actions, pot-limit maxima, side pots, split pots, rake, ICM, and exact PLO card use are tested as pure state transitions.

Verified
02

Measured strategy

The built-in reference solver reports exact best-response exploitability for tractable Kuhn games. Larger poker remains an explicit external-compute dependency.

Bounded
03

Calibrated opponents

AI fidelity mixes a versioned baseline with structured policy perturbations and reports divergence plus estimated regret.

Estimated

Build better decisions

Bring the whole game into one lab.

Start with the limited working demo. Qualify monthly membership in Stripe test mode before any separately authorized live launch.

Open PokerLabView membership